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In this paper, a statistical approach based on an adaptive parametric estimator is proposed for the three-dimensional (3-D) reconstruction of objects under photon-starved conditions. In photon counting integral imaging system, 3-D objects having small number of photons can be visualized by the prior-based statistical estimation. However, improper prior constrains can lead to inaccurate reconstruction...
Recently, three-dimensional (3D) object reconstruction using photon counting integral imaging (PCII) based on grayscale elemental images has been reported. In this paper, we present a multispectral PCII system using Bayer elemental images for multispectral visualization of photon limited 3D scenes. We measure the accuracy as well as the speed of demosaicing algorithms to estimate multispectral 3D...
Photon-counting integral imaging has been introduced recently and its applications in 3D object sensing, visualization, recognition and classification under photon-starved conditions have been demonstrated. This paper reviews the underlying information-theoretic foundation behind the observation that such complex tasks can be performed by means of imaging with far fewer photons than conventional imaging...
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